Examine the scatterplot for the data in the table below. 2 4. 3. 11 12 37 14 16 15 21 16 26 18 28 19 32 20 34 40+ 35 30 25 20- 15 10- -5 -5+ 10 15 20 5 There seems to be an outlier. Enter as a point:...

Extracted text: Examine the scatterplot for the data in the table below. 2 4. 3. 11 12 37 14 16 15 21 16 26 18 28 19 32 20 34 40+ 35 30 25 20- 15 10- -5 -5+ 10 15 20 5 There seems to be an outlier. Enter as a point: а. (х, у) %3D To determine if this is truly an outlier, we first need to find the standard error of the estimate, Se. Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to find the standard error. Round this answer to one decimal. b. Se = What y-value is the cutoff beyond which the point (12,37) would be considered an outlier? c. The cutoff is y =